Distributed database management system, method and apparatus

A management system and distributed technology, which is applied in the field of distributed information technology processing, can solve the problems of out-of-sync data parameter configuration and long time to import data, and achieve the effect of saving positioning time and improving import speed
CN107679237AInactive Publication Date: 2018-02-09杨晓艳
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
杨晓艳
Publication Date
2018-02-09
Estimated Expiration
Not applicable · inactive patent

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Abstract

Embodiments of the invention disclose a distributed database management system, method and apparatus. The distributed database management system comprises a main control node and at least one data node, wherein the main control node is used for receiving a configuration file from a user, managing data parameter configuration on the data nodes, receiving a data importing request from an external application and sending the received data importing request to the corresponding data nodes according to data parameters so as to realize importing of data in a database; and the data nodes are used forconfiguring the data parameters, receiving the data importing request sent by the main control node and executing importing operation of the corresponding data. According to the technical scheme, quick importing of massive data in a database system and synchronous configuration of distributed database data parameters are realized through the cooperation effect of the main control node and the data nodes, so that the parameter configuration on the independent data nodes are ensured to be kept consistent all the time.
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Description

technical field

[0001] The embodiments of the present invention relate to the field of distributed information technology processing, and in particular to a distributed database management system, method and device. Background technique

[0002] With the increasing amount of network application data, higher requirements are put forward for the access performance, storage overhead and reliability of the data storage system. It is necessary to distribute the data through multiple database servers for storage, while the traditional relational database Difficult to distribute and difficult to expand.

[0003] At present, by simplifying the data management model of relational databases in this field and sacrificing data management capabilities in exchange for enhanced scalability, highly scalable column-oriented distributed databases bigtable and Cassandra have been proposed. The column-oriented distributed database is composed of multiple database nodes, and each database node ...

Claims

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